The procedures used for constructing these datasets appear in Sections on "Datasets with one individual per species" and "Datasets with multiple individuals per species".
The demographic history was analyzed on the third dataset on an individual basis by comparing the four coalescent models (constant, exponential, expansional, and BSP) and implementing a relaxed molecular clock model under the conditions described above.
For all analyses, we limited the dataset to individuals observed on consecutive sampling occasions (for growth estimates) and scaled response variables across all captures to a mean of 0 and a variance of 1. Scaling generates results on relative, not absolute, body size and growth.
From the entire H2000 dataset, only data on individuals aged between 40 and 79 were utilised, as the expected observable frequency of events in other age groups, in terms of morbidity and mortality, was deemed insufficient.
This would be of particular importance for datasets with repeated records on individuals, and such data structures would allow proper estimation of variances on an individual level.
It generates a large country survey dataset on more than 36,000 individuals and a weighting sample of 7,062 households drawn from all regions of Morocco (60 provinces).
Administrative data can potentially provide the analyst with the ability to link information from multiple databases creating datasets containing more complete data on individuals over time, additional background and demographic variables, as well as data on participants and non-participants [28].
Comparison of the results obtained with the QTLMap half-sib model and the GridQTL "F2" model on the full dataset (860 F2 individuals and 1393 genetic markers) revealed only one common QTL for T° on GGA2, although the QTL locations were slightly different.
The prospective subset (panel dataset) of the study is based on individuals who have had two health examinations 10 years apart and were not defined as having diabetes at their first health examination (n = 23,546).
We conducted experiments on five 'virtual' ARDS patients using a computational simulator that reproduces static and dynamic features of a multivariable clinical dataset on the responses of individual ARDS patients to a range of ventilator inputs.
